HPC4Manufacturing Project Aims at Improving Thin-Film Processes Used in LED Lights

July 19, 2019

July 19, 2019 — Lawrence Livermore National Laboratory (LLNL) researchers are working with semiconductor chip manufacturer Applied Materials to improve a process for depositing thin-film materials on wafers that are used in high-efficiency LED lights and other products. The Department of Energy’s High Performance Computing for Manufacturing (HPC4Manufacturing) program is funding the effort.

A single wafer process chamber used by Applied Materials to perform physical vapor deposition on any type of wafer, including the sapphire substrates used in the HPC4Manufacturing collaboration with Lawrence Livermore National Laboratory. Photo courtesy of Applied Materials.

Reliably creating thin films with favorable electrical, optical, structural and chemical properties is an important problem in manufacturing. One possible technique for depositing thin films with controlled properties is high-powered impulse magnetron sputtering (HiPIMS), which has yet to be optimized because modeling magnetron plasma discharges at relevant densities is a “grand challenge computing problem,” researchers said.

Magnetron sputtering involves repeatedly bombarding a “target” with high-density plasma (containing ions and electrons), causing material to break from the target and “sputter” onto a substrate, such as a silicon wafer. In HiPIMS, a variant of magnetron sputtering, the plasma is typically high-energy and pulsed. The main advantage to HiPIMS, researchers said, is that they can ionize more of the sputtered material, giving them better control over uniformity and density of the resulting film.

Using LLNL’s high-performance computing systems Cab and Quartz with a commercial code called Chicago, researchers have been able to model how the plasma behaves during the HiPIMS process in three dimensions, bringing a predictive capability to the process and helping scientists determine how reactor geometry can be tailored to get the properties and uniformity that industry requires for optimal device performance.

A top-down rendering of a wafer processing system. Illustration courtesy of Applied Materials.

“Essentially, having a model like this you can learn everything you want to know about the plasma,” said LLNL researcher Andrea Schmidt, principal investigator on the project. “You can track things on the atomic level, where they came from, where they’re going to. These magnetron plasmas can have complex magnetic field structures. Applied Materials has a reactor they think is secret sauce — we could look into other geometries and see if we can tweak it to get what they want without trying all these configurations experimentally.”

Lawrence Livermore and Applied Materials entered into a cooperative research and development agreement in summer 2017 and the project started shortly thereafter. Miller Allen, the principal investigator on the project for Applied Materials, said by using the Chicago code and LLNL’s HPC resources, the team was able to obtain a close match of the modeled voltage and current to the company’s experimental results, at realistic plasma powers, for the first time.

“The collaboration with the LLNL plasma modeling experts has been very exciting,” Allen said. “Previously, we have only been able to model 3D geometries at two to three orders of magnitude below the actual operating range due to the computational complexity and computing cost of modeling dense plasmas.

Through the HPC4Mfg collaboration, we have gained immediate insights into the plasma initiation, structure and evolution that are directly applicable to our future chamber design.”

Initially, the plasma models weren’t meeting expectations, Schmidt said, but eventually the modeling team, including Ihor Holod and Tony Link, got the model running reliably, first in 2D and then in 3D, using deposition rates to compare the model to experimental data.

Holod said the result is a unique capability for 3D modeling HiPIMS with realistic plasma parameters, device size and operating voltage. Dynamics and interactions of multiple particle species, including electrons, noble gas neutrals and ions, as well as sputtered material in neutral and ionized states also are considered.

“After putting all the pieces of physics and numerics together, and running a long expensive simulation, we were really excited to see the agreement with experimental measurements in terms of current evolution and sputtering efficiency,” Holod said. “Kinetic simulation has provided us with the insight of plasma behavior. This allows us to see the evolution of sputtered material distribution within the magnetron chamber, leading to possible optimizations by adjusting the geometry of the device. Additionally, understanding the dynamics of magnetized plasma in the vicinity of magnetron’s target can lead to potential improvement of sputtering efficiency.”

Holod said the biggest challenge of the work was identifying the proper parameters for multiple complementary processes, resulting in an integrated current to be matched with the experiment. Another challenge was choosing the numerical parameters, as the teams needed to resolve a very narrow sheath region near the surface of the cathode, where ions and electrons accelerate to energies corresponding to the operating voltage.

The research team completed the first phase of the project and was recently awarded funding from DOE’s Advanced Manufacturing Office, through the HPC4Mfg program, for a second phase. This follow-on project will look at studying a wider range of HiPIMS discharge phenomena, including 3D plasma modeling of a larger magnetron and plasma volume, longer deposition times and modeling the sputter yield of reacted compounds.

For more information on HPC4Mfg, visit the web.


Source: Lawrence Livermore National Laboratory (LLNL)

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

The Future of AI in Science

May 15, 2024

AI is one of the most transformative and valuable scientific tools ever developed. By harnessing vast amounts of data and computational power, AI systems can uncover patterns, generate insights, and make predictions that Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top500 list of the fastest supercomputers in the world. At s Read more…

ISC 2024 Keynote: High-precision Computing Will Be a Foundation for AI Models

May 15, 2024

Some scientific computing applications cannot sacrifice accuracy and will always require high-precision computing. Therefore, conventional high-performance computing (HPC) will remain essential, even as many applicati Read more…

EuroHPC Expands: United Kingdom Joins as 35th Member

May 14, 2024

The United Kingdom has officially joined the EuroHPC Joint Undertaking, becoming the 35th member state. This was confirmed after the 38th Governing Board meeting, and it's set to enhance Europe's supercomputing capabilit Read more…

Linux Foundation Announces the Launch of the High-Performance Software Foundation

May 14, 2024

The Linux Foundation, the nonprofit organization enabling mass innovation through open source, is excited to announce the launch of the High-Performance Software Foundation (HPSF). The announcement was made at the ISC Read more…

Nvidia Showcases Work with Quantum Centers at ISC 2024

May 13, 2024

With quantum computing surging in Europe, Nvidia took advantage of ISC 2024 to showcase its efforts working with quantum development centers. Currently, Nvidia GPUs are dominant inside classical systems used for quantum Read more…

The Future of AI in Science

May 15, 2024

AI is one of the most transformative and valuable scientific tools ever developed. By harnessing vast amounts of data and computational power, AI systems can un Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

ISC 2024 Keynote: High-precision Computing Will Be a Foundation for AI Models

May 15, 2024

Some scientific computing applications cannot sacrifice accuracy and will always require high-precision computing. Therefore, conventional high-performance c Read more…

Shutterstock 493860193

Linux Foundation Announces the Launch of the High-Performance Software Foundation

May 14, 2024

The Linux Foundation, the nonprofit organization enabling mass innovation through open source, is excited to announce the launch of the High-Performance Softw Read more…

ISC 2024: Hyperion Research Predicts HPC Market Rebound after Flat 2023

May 13, 2024

First, the top line: the overall HPC market was flat in 2023 at roughly $37 billion, bogged down by supply chain issues and slowed acceptance of some larger sys Read more…

Top 500: Aurora Breaks into Exascale, but Can’t Get to the Frontier of HPC

May 13, 2024

The 63rd installment of the TOP500 list is available today in coordination with the kickoff of ISC 2024 in Hamburg, Germany. Once again, the Frontier system at Read more…

ISC Preview: Focus Will Be on Top500 and HPC Diversity 

May 9, 2024

Last year's Supercomputing 2023 in November had record attendance, but the direction of high-performance computing was a hot topic on the floor. Expect more of Read more…

Illinois Considers $20 Billion Quantum Manhattan Project Says Report

May 7, 2024

There are multiple reports that Illinois governor Jay Robert Pritzker is considering a $20 billion Quantum Manhattan-like project for the Chicago area. Accordin Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Leading Solution Providers

Contributors

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

How the Chip Industry is Helping a Battery Company

May 8, 2024

Chip companies, once seen as engineering pure plays, are now at the center of geopolitical intrigue. Chip manufacturing firms, especially TSMC and Intel, have b Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire